Senior Data Scientist

ML OPs, data engineering, data analysis, software development, bioinformatics (spatial transcriptomics, metagenomics)
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Work expectations

Status
Actively looking
Not looking
Not looking
Open to new opportunities
Location
Brisbane
-
Open to relocating
Commitment
Full-time, Casual / Contract / Part-time, Join as a startup co-founder
Availability from time of offer
In 1-2 months
Development experience
1-2 years
Top 3 languages or frameworks
Python, AWS, PyTorch
Also knows
Airflow, Java, React, SQL, C++, Git, R
Preferred work environment
Hybrid, Fully remote, In the office
Strengths
Interested in working involving

I am looking for AI/ML roles in health technology, including biotech startups, diagnostics innovation and work addressing data interoperability challenges in health.

Not interested in work involving

Other information
Able to work in Australia without visa sponsorship
Requires visa sponsorship to work in Australia

Pay expectations

Full-time
$
140000
per year
Casual / Contract
$
100
per hour
Pay is negotiable in exchange for equity
Pay is negotiable in exchange for equity
Pay is not negotiable in exchange for equity
Open to volunteering or working for equity only
Not interested in volunteering or working for equity only if joining as a co-founder

Referred by

  •  

Work experience

Proudest professional achievement

Senior Data Scientist

State law enforcement agencyMay 2025 - Present

  • Deployed an AWS-hosted React web application for the State Emergency Service (SES), involving designing the content delivery system, authentication, CI/CD pipelines and data governance procedures.
  • Led development of an Optical Character Recognition (OCR) application built in Python to extract insights informing Domestic Violence policy, replacing 2 hours of daily manual processing
  • Acting position as Principal Data Scientist, which included advising the executive leadership team of changes that could increase data capability in QPS. Improvements included developing and automating standardised cloud computing infrastructure policies.
  • Maintained near-live Stolen Vehicles Intelligence data to enable the effective identification of vehicles via Airflow data pipelines.
  • Scoping and delivering research projects in collaboration with a university for Information Resilience PhD students: Increasing Fairness in Machine Learning and Knowledge Graph- Guided Demand Prediction.
  • Developed organization performance dashboards using Power BI.

Data Analyst

State law enforcement agency • Feb 2025 - May 2025

  • Created proof of concept applications including Retrieval Augmented Generation (RAG)-optimised Large Language Models (LLMs) to easily search through dense technical documentation.
  • Researched solutions for critical operational issues including demand modelling

Research Student

National scientific research organisation Nov 2022 - Mar 2023, Nov 2023 - Feb 2024

  • Developed, tested, and presented machine learning models for image generation and inpainting of medical images (X-Rays, CT Scans) using diffusion models.
  • Designed applications for use on high-performance computing systems and was an early tester of state-of-the-art hardware.

Teaching Academic

Leading Australian universityJul 2022 - Nov 2024

  • Instructor and coursework developer across five subjects including Programming for Engineers, Theory and Practice in Science, Introduction to Software Engineering, and two Bioinformatics courses
  • Facilitated university coursework with cohort sizes up to 1200 students.

Research Assistant

Ecogenomics research hubJun 2022 - Nov 2023

  • Computational discovery of critical mineral binding proteins to propose more sustainable and effective methods for mining cobalt and vanadium.
  • As a key member of a multi-disciplinary team of industry and academic experts, drove bioinformatic data analysis, high-throughput molecular simulations, and scientific communication to support a major grant submission worth over $700,000 and two publications.

Education

University of Queensland
Bachelor of Advanced Science (Honours), First Class
Major: Bioinformatics, Minor: Computational Science
Thesis: Quantifying the statistical significance of cellular segmentation for spatial transcriptomics data using selective inference.
Merit Scholarship for Excellent Academic Achievement

Accreditations
AWS AI Practitioner Certification 2025
AWS Cloud Practitioner Certification 2026

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